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Data-driven structured realization [PDF]
Linear Algebra and its Applications, 2018 We present a framework for constructing structured realizations of linear dynamical systems having transfer functions of the form $\widetilde{C}(\sum_{k=1}^K h_k(s)\widetilde{A}_k)^{-1}\widetilde{B}$ where $h_1, h_2, \ldots, h_K$ are prescribed functions that specify the surmised structure of the model. Our construction is data-driven in the sense that
Schulze, Philipp +3 more
openaire +5 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro +11 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm +11 more
wiley +1 more source
Optical property dataset of inorganic phosphor
Scientific ReportsDeveloping inorganic phosphor with desired properties for light-emitting diode application has traditionally relied on time-consuming and labor-intensive material development processes.
Seunghun Jang +3 more
doaj +1 more source
IEEE AccessVirtual reality (VR) offers the potential for embodied learning through multisensory engagement. However, empirical research on the direct impact of emotional experiences on learning outcomes remains limited.
Tang Li, Xuewang Geng, Masanori Yamada
doaj +1 more source
Few-shot prediction of amyloid β accumulation from mainly unpaired data on biomarker candidates
npj Systems Biology and Applications, 2023 The pair-wise observation of the input and target values obtained from the same sample is mandatory in any prediction problem. In the biomarker discovery of Alzheimer’s disease (AD), however, obtaining such paired data is laborious and often avoided ...
Yuichiro Yada, Honda Naoki
doaj +1 more source
Workout Detection by Wearable Device Data Using Machine Learning
Applied Sciences, 2023 There are many reports that workouts relieve daily stress and are effective in improving mental and physical health. In recent years, there has been a demand for quick and easy methods to analyze and evaluate living organisms using biological information
Yutaka Yoshida, Emi Yuda
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook +6 more
wiley +1 more source
AI-powered segmentation and prognosis with missing MRI in pediatric brain tumors
npj Precision OncologyBrain MRI is the primary imaging modality for pediatric brain tumors, yet incomplete acquisitions are common, hindering the clinical utility of existing deep learning models for tumor segmentation and prognosis.
Dimosthenis Chrysochoou +22 more
doaj +1 more source
A Comparison of Spherical Neural Networks for Surround-View Fisheye Image Semantic Segmentation
IEEE Open Journal of Vehicular TechnologyThe automotive industry has made significant strides in enhancing road safety and enabling automated driving features through advanced computer vision techniques.
Anam Manzoor +6 more
doaj +1 more source